This compendium provides a self-contained introduction to
mathematical analysis in the field of machine learning and data
mining. The mathematical analysis component of the typical
mathematical curriculum for computer science students omits these
very important ideas and techniques which are indispensable for
approaching specialized area of machine learning centered around
optimization such as support vector machines, neural networks,
various types of regression, feature selection, and clustering. The
book is of special interest to researchers and graduate students
who will benefit from these application areas discussed in the
book. Related Link(s)
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